Overview

Dataset statistics

Number of variables21
Number of observations10000
Missing cells0
Missing cells (%)0.0%
Duplicate rows1
Duplicate rows (%)< 0.1%
Total size in memory1.6 MiB
Average record size in memory168.0 B

Variable types

Numeric21

Alerts

Dataset has 1 (< 0.1%) duplicate rowsDuplicates
label is highly overall correlated with pixel263 and 4 other fieldsHigh correlation
pixel547 is highly overall correlated with pixel603 and 7 other fieldsHigh correlation
pixel603 is highly overall correlated with pixel547 and 7 other fieldsHigh correlation
pixel491 is highly overall correlated with pixel547 and 6 other fieldsHigh correlation
pixel575 is highly overall correlated with pixel547 and 7 other fieldsHigh correlation
pixel263 is highly overall correlated with label and 5 other fieldsHigh correlation
pixel407 is highly overall correlated with pixel547 and 6 other fieldsHigh correlation
pixel435 is highly overall correlated with pixel547 and 6 other fieldsHigh correlation
pixel687 is highly overall correlated with pixel547 and 4 other fieldsHigh correlation
pixel519 is highly overall correlated with pixel547 and 6 other fieldsHigh correlation
pixel631 is highly overall correlated with pixel547 and 7 other fieldsHigh correlation
pixel401 is highly overall correlated with pixel427High correlation
pixel180 is highly overall correlated with label and 5 other fieldsHigh correlation
pixel234 is highly overall correlated with pixel263 and 4 other fieldsHigh correlation
pixel236 is highly overall correlated with label and 5 other fieldsHigh correlation
pixel68 is highly overall correlated with label and 5 other fieldsHigh correlation
pixel611 is highly overall correlated with pixel555 and 1 other fieldsHigh correlation
pixel96 is highly overall correlated with label and 6 other fieldsHigh correlation
pixel555 is highly overall correlated with pixel611 and 2 other fieldsHigh correlation
pixel594 is highly overall correlated with pixel611 and 1 other fieldsHigh correlation
pixel427 is highly overall correlated with pixel401 and 1 other fieldsHigh correlation
label has 1000 (10.0%) zerosZeros
pixel547 has 1350 (13.5%) zerosZeros
pixel603 has 2338 (23.4%) zerosZeros
pixel491 has 1126 (11.3%) zerosZeros
pixel575 has 1763 (17.6%) zerosZeros
pixel263 has 2675 (26.8%) zerosZeros
pixel407 has 1231 (12.3%) zerosZeros
pixel435 has 1222 (12.2%) zerosZeros
pixel687 has 3899 (39.0%) zerosZeros
pixel519 has 1235 (12.3%) zerosZeros
pixel631 has 2757 (27.6%) zerosZeros
pixel401 has 2770 (27.7%) zerosZeros
pixel180 has 3029 (30.3%) zerosZeros
pixel234 has 3180 (31.8%) zerosZeros
pixel236 has 2556 (25.6%) zerosZeros
pixel68 has 3749 (37.5%) zerosZeros
pixel611 has 4502 (45.0%) zerosZeros
pixel96 has 3554 (35.5%) zerosZeros
pixel555 has 3414 (34.1%) zerosZeros
pixel594 has 4564 (45.6%) zerosZeros
pixel427 has 4024 (40.2%) zerosZeros

Reproduction

Analysis started2023-11-03 21:44:01.561852
Analysis finished2023-11-03 21:45:45.833791
Duration1 minute and 44.27 seconds
Software versionydata-profiling vv4.6.1
Download configurationconfig.json

Variables

label
Real number (ℝ)

HIGH CORRELATION  ZEROS 

Distinct10
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean4.5
Minimum0
Maximum9
Zeros1000
Zeros (%)10.0%
Negative0
Negative (%)0.0%
Memory size78.2 KiB
2023-11-03T21:45:45.955347image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q12
median4.5
Q37
95-th percentile9
Maximum9
Range9
Interquartile range (IQR)5

Descriptive statistics

Standard deviation2.8724249
Coefficient of variation (CV)0.63831666
Kurtosis-1.2242545
Mean4.5
Median Absolute Deviation (MAD)2.5
Skewness0
Sum45000
Variance8.2508251
MonotonicityNot monotonic
2023-11-03T21:45:46.138528image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%)
0 1000
10.0%
1 1000
10.0%
2 1000
10.0%
3 1000
10.0%
8 1000
10.0%
6 1000
10.0%
5 1000
10.0%
4 1000
10.0%
7 1000
10.0%
9 1000
10.0%
ValueCountFrequency (%)
0 1000
10.0%
1 1000
10.0%
2 1000
10.0%
3 1000
10.0%
4 1000
10.0%
5 1000
10.0%
6 1000
10.0%
7 1000
10.0%
8 1000
10.0%
9 1000
10.0%
ValueCountFrequency (%)
9 1000
10.0%
8 1000
10.0%
7 1000
10.0%
6 1000
10.0%
5 1000
10.0%
4 1000
10.0%
3 1000
10.0%
2 1000
10.0%
1 1000
10.0%
0 1000
10.0%

pixel547
Real number (ℝ)

HIGH CORRELATION  ZEROS 

Distinct256
Distinct (%)2.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean137.6686
Minimum0
Maximum255
Zeros1350
Zeros (%)13.5%
Negative0
Negative (%)0.0%
Memory size78.2 KiB
2023-11-03T21:45:46.363707image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q166
median163
Q3210
95-th percentile236
Maximum255
Range255
Interquartile range (IQR)144

Descriptive statistics

Standard deviation82.545882
Coefficient of variation (CV)0.59959847
Kurtosis-1.1795553
Mean137.6686
Median Absolute Deviation (MAD)58
Skewness-0.49688453
Sum1376686
Variance6813.8226
MonotonicityNot monotonic
2023-11-03T21:45:46.750144image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 1350
 
13.5%
222 100
 
1.0%
224 91
 
0.9%
225 89
 
0.9%
228 86
 
0.9%
214 86
 
0.9%
223 85
 
0.9%
216 84
 
0.8%
232 83
 
0.8%
215 82
 
0.8%
Other values (246) 7864
78.6%
ValueCountFrequency (%)
0 1350
13.5%
1 28
 
0.3%
2 25
 
0.2%
3 17
 
0.2%
4 18
 
0.2%
5 20
 
0.2%
6 18
 
0.2%
7 16
 
0.2%
8 10
 
0.1%
9 11
 
0.1%
ValueCountFrequency (%)
255 45
0.4%
254 8
 
0.1%
253 9
 
0.1%
252 15
 
0.1%
251 11
 
0.1%
250 10
 
0.1%
249 13
 
0.1%
248 13
 
0.1%
247 13
 
0.1%
246 18
 
0.2%

pixel603
Real number (ℝ)

HIGH CORRELATION  ZEROS 

Distinct256
Distinct (%)2.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean125.3065
Minimum0
Maximum255
Zeros2338
Zeros (%)23.4%
Negative0
Negative (%)0.0%
Memory size78.2 KiB
2023-11-03T21:45:47.180112image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q115
median149
Q3208
95-th percentile236
Maximum255
Range255
Interquartile range (IQR)193

Descriptive statistics

Standard deviation89.654683
Coefficient of variation (CV)0.7154831
Kurtosis-1.4899791
Mean125.3065
Median Absolute Deviation (MAD)72
Skewness-0.28590477
Sum1253065
Variance8037.9622
MonotonicityNot monotonic
2023-11-03T21:45:47.622414image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 2338
 
23.4%
223 95
 
0.9%
219 90
 
0.9%
229 87
 
0.9%
215 85
 
0.9%
222 84
 
0.8%
224 84
 
0.8%
201 81
 
0.8%
216 80
 
0.8%
211 78
 
0.8%
Other values (246) 6898
69.0%
ValueCountFrequency (%)
0 2338
23.4%
1 18
 
0.2%
2 19
 
0.2%
3 17
 
0.2%
4 12
 
0.1%
5 13
 
0.1%
6 12
 
0.1%
7 10
 
0.1%
8 17
 
0.2%
9 9
 
0.1%
ValueCountFrequency (%)
255 65
0.7%
254 10
 
0.1%
253 10
 
0.1%
252 10
 
0.1%
251 16
 
0.2%
250 11
 
0.1%
249 10
 
0.1%
248 15
 
0.1%
247 16
 
0.2%
246 19
 
0.2%

pixel491
Real number (ℝ)

HIGH CORRELATION  ZEROS 

Distinct256
Distinct (%)2.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean143.508
Minimum0
Maximum255
Zeros1126
Zeros (%)11.3%
Negative0
Negative (%)0.0%
Memory size78.2 KiB
2023-11-03T21:45:48.058965image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q184
median168
Q3210
95-th percentile236
Maximum255
Range255
Interquartile range (IQR)126

Descriptive statistics

Standard deviation79.058341
Coefficient of variation (CV)0.5508985
Kurtosis-0.93694235
Mean143.508
Median Absolute Deviation (MAD)52
Skewness-0.627669
Sum1435080
Variance6250.2214
MonotonicityNot monotonic
2023-11-03T21:45:48.516207image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 1126
 
11.3%
225 97
 
1.0%
227 93
 
0.9%
228 92
 
0.9%
221 92
 
0.9%
222 88
 
0.9%
205 87
 
0.9%
224 86
 
0.9%
218 85
 
0.9%
214 85
 
0.9%
Other values (246) 8069
80.7%
ValueCountFrequency (%)
0 1126
11.3%
1 47
 
0.5%
2 26
 
0.3%
3 16
 
0.2%
4 22
 
0.2%
5 14
 
0.1%
6 20
 
0.2%
7 11
 
0.1%
8 7
 
0.1%
9 6
 
0.1%
ValueCountFrequency (%)
255 52
0.5%
254 3
 
< 0.1%
253 9
 
0.1%
252 8
 
0.1%
251 13
 
0.1%
250 9
 
0.1%
249 8
 
0.1%
248 10
 
0.1%
247 7
 
0.1%
246 12
 
0.1%

pixel575
Real number (ℝ)

HIGH CORRELATION  ZEROS 

Distinct256
Distinct (%)2.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean131.8618
Minimum0
Maximum255
Zeros1763
Zeros (%)17.6%
Negative0
Negative (%)0.0%
Memory size78.2 KiB
2023-11-03T21:45:48.949903image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q151
median157
Q3209
95-th percentile236
Maximum255
Range255
Interquartile range (IQR)158

Descriptive statistics

Standard deviation85.745773
Coefficient of variation (CV)0.65027
Kurtosis-1.3347493
Mean131.8618
Median Absolute Deviation (MAD)64
Skewness-0.39370664
Sum1318618
Variance7352.3375
MonotonicityNot monotonic
2023-11-03T21:45:49.363588image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 1763
 
17.6%
223 88
 
0.9%
214 88
 
0.9%
217 86
 
0.9%
211 86
 
0.9%
226 84
 
0.8%
210 83
 
0.8%
228 83
 
0.8%
227 81
 
0.8%
225 81
 
0.8%
Other values (246) 7477
74.8%
ValueCountFrequency (%)
0 1763
17.6%
1 27
 
0.3%
2 20
 
0.2%
3 16
 
0.2%
4 12
 
0.1%
5 17
 
0.2%
6 11
 
0.1%
7 15
 
0.1%
8 10
 
0.1%
9 18
 
0.2%
ValueCountFrequency (%)
255 56
0.6%
254 9
 
0.1%
253 8
 
0.1%
252 9
 
0.1%
251 16
 
0.2%
250 11
 
0.1%
249 7
 
0.1%
248 15
 
0.1%
247 13
 
0.1%
246 20
 
0.2%

pixel263
Real number (ℝ)

HIGH CORRELATION  ZEROS 

Distinct256
Distinct (%)2.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean107.6417
Minimum0
Maximum255
Zeros2675
Zeros (%)26.8%
Negative0
Negative (%)0.0%
Memory size78.2 KiB
2023-11-03T21:45:49.601321image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median116
Q3196
95-th percentile235
Maximum255
Range255
Interquartile range (IQR)196

Descriptive statistics

Standard deviation91.216152
Coefficient of variation (CV)0.84740534
Kurtosis-1.5948996
Mean107.6417
Median Absolute Deviation (MAD)97
Skewness0.021078892
Sum1076417
Variance8320.3864
MonotonicityNot monotonic
2023-11-03T21:45:49.848727image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 2675
26.8%
1 272
 
2.7%
255 151
 
1.5%
2 132
 
1.3%
3 94
 
0.9%
206 69
 
0.7%
211 67
 
0.7%
218 65
 
0.7%
224 64
 
0.6%
221 63
 
0.6%
Other values (246) 6348
63.5%
ValueCountFrequency (%)
0 2675
26.8%
1 272
 
2.7%
2 132
 
1.3%
3 94
 
0.9%
4 48
 
0.5%
5 38
 
0.4%
6 28
 
0.3%
7 11
 
0.1%
8 11
 
0.1%
9 9
 
0.1%
ValueCountFrequency (%)
255 151
1.5%
254 22
 
0.2%
253 12
 
0.1%
252 13
 
0.1%
251 6
 
0.1%
250 10
 
0.1%
249 9
 
0.1%
248 12
 
0.1%
247 11
 
0.1%
246 16
 
0.2%

pixel407
Real number (ℝ)

HIGH CORRELATION  ZEROS 

Distinct256
Distinct (%)2.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean139.7073
Minimum0
Maximum255
Zeros1231
Zeros (%)12.3%
Negative0
Negative (%)0.0%
Memory size78.2 KiB
2023-11-03T21:45:50.086444image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q179
median163
Q3206
95-th percentile234
Maximum255
Range255
Interquartile range (IQR)127

Descriptive statistics

Standard deviation79.269876
Coefficient of variation (CV)0.56739967
Kurtosis-0.9933383
Mean139.7073
Median Absolute Deviation (MAD)53
Skewness-0.57877819
Sum1397073
Variance6283.7132
MonotonicityNot monotonic
2023-11-03T21:45:50.341879image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 1231
 
12.3%
215 93
 
0.9%
225 92
 
0.9%
217 84
 
0.8%
205 84
 
0.8%
212 82
 
0.8%
188 81
 
0.8%
206 81
 
0.8%
210 81
 
0.8%
189 80
 
0.8%
Other values (246) 8011
80.1%
ValueCountFrequency (%)
0 1231
12.3%
1 70
 
0.7%
2 34
 
0.3%
3 26
 
0.3%
4 12
 
0.1%
5 12
 
0.1%
6 17
 
0.2%
7 11
 
0.1%
8 4
 
< 0.1%
9 11
 
0.1%
ValueCountFrequency (%)
255 57
0.6%
254 12
 
0.1%
253 11
 
0.1%
252 9
 
0.1%
251 3
 
< 0.1%
250 11
 
0.1%
249 6
 
0.1%
248 12
 
0.1%
247 15
 
0.1%
246 15
 
0.1%

pixel435
Real number (ℝ)

HIGH CORRELATION  ZEROS 

Distinct256
Distinct (%)2.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean140.9373
Minimum0
Maximum255
Zeros1222
Zeros (%)12.2%
Negative0
Negative (%)0.0%
Memory size78.2 KiB
2023-11-03T21:45:50.579645image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q182
median165
Q3207.25
95-th percentile234
Maximum255
Range255
Interquartile range (IQR)125.25

Descriptive statistics

Standard deviation79.130143
Coefficient of variation (CV)0.56145636
Kurtosis-0.96093816
Mean140.9373
Median Absolute Deviation (MAD)52
Skewness-0.60605684
Sum1409373
Variance6261.5795
MonotonicityNot monotonic
2023-11-03T21:45:50.834985image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 1222
 
12.2%
217 90
 
0.9%
210 87
 
0.9%
212 84
 
0.8%
229 82
 
0.8%
223 81
 
0.8%
220 81
 
0.8%
201 81
 
0.8%
231 81
 
0.8%
213 80
 
0.8%
Other values (246) 8031
80.3%
ValueCountFrequency (%)
0 1222
12.2%
1 68
 
0.7%
2 35
 
0.4%
3 17
 
0.2%
4 23
 
0.2%
5 11
 
0.1%
6 8
 
0.1%
7 7
 
0.1%
8 11
 
0.1%
9 7
 
0.1%
ValueCountFrequency (%)
255 53
0.5%
254 2
 
< 0.1%
253 7
 
0.1%
252 7
 
0.1%
251 6
 
0.1%
250 9
 
0.1%
249 11
 
0.1%
248 9
 
0.1%
247 5
 
0.1%
246 13
 
0.1%

pixel687
Real number (ℝ)

HIGH CORRELATION  ZEROS 

Distinct256
Distinct (%)2.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean98.8593
Minimum0
Maximum255
Zeros3899
Zeros (%)39.0%
Negative0
Negative (%)0.0%
Memory size78.2 KiB
2023-11-03T21:45:51.083331image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median90
Q3198.25
95-th percentile236
Maximum255
Range255
Interquartile range (IQR)198.25

Descriptive statistics

Standard deviation95.188433
Coefficient of variation (CV)0.96286776
Kurtosis-1.6581938
Mean98.8593
Median Absolute Deviation (MAD)90
Skewness0.19324779
Sum988593
Variance9060.8378
MonotonicityNot monotonic
2023-11-03T21:45:51.350907image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 3899
39.0%
209 68
 
0.7%
227 67
 
0.7%
228 66
 
0.7%
222 66
 
0.7%
231 66
 
0.7%
214 65
 
0.7%
226 65
 
0.7%
215 64
 
0.6%
221 63
 
0.6%
Other values (246) 5511
55.1%
ValueCountFrequency (%)
0 3899
39.0%
1 34
 
0.3%
2 37
 
0.4%
3 30
 
0.3%
4 17
 
0.2%
5 21
 
0.2%
6 13
 
0.1%
7 8
 
0.1%
8 7
 
0.1%
9 15
 
0.1%
ValueCountFrequency (%)
255 60
0.6%
254 18
 
0.2%
253 11
 
0.1%
252 14
 
0.1%
251 7
 
0.1%
250 11
 
0.1%
249 10
 
0.1%
248 10
 
0.1%
247 15
 
0.1%
246 19
 
0.2%

pixel519
Real number (ℝ)

HIGH CORRELATION  ZEROS 

Distinct256
Distinct (%)2.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean140.2984
Minimum0
Maximum255
Zeros1235
Zeros (%)12.3%
Negative0
Negative (%)0.0%
Memory size78.2 KiB
2023-11-03T21:45:51.581940image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q177
median165
Q3210
95-th percentile235
Maximum255
Range255
Interquartile range (IQR)133

Descriptive statistics

Standard deviation80.690039
Coefficient of variation (CV)0.57513157
Kurtosis-1.0610617
Mean140.2984
Median Absolute Deviation (MAD)55
Skewness-0.55933595
Sum1402984
Variance6510.8824
MonotonicityNot monotonic
2023-11-03T21:45:51.833914image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 1235
 
12.3%
216 96
 
1.0%
215 94
 
0.9%
213 93
 
0.9%
222 93
 
0.9%
227 91
 
0.9%
223 90
 
0.9%
217 87
 
0.9%
224 86
 
0.9%
225 85
 
0.9%
Other values (246) 7950
79.5%
ValueCountFrequency (%)
0 1235
12.3%
1 42
 
0.4%
2 24
 
0.2%
3 21
 
0.2%
4 19
 
0.2%
5 13
 
0.1%
6 14
 
0.1%
7 17
 
0.2%
8 17
 
0.2%
9 8
 
0.1%
ValueCountFrequency (%)
255 51
0.5%
254 9
 
0.1%
253 6
 
0.1%
252 10
 
0.1%
251 9
 
0.1%
250 10
 
0.1%
249 9
 
0.1%
248 12
 
0.1%
247 15
 
0.1%
246 16
 
0.2%

pixel631
Real number (ℝ)

HIGH CORRELATION  ZEROS 

Distinct256
Distinct (%)2.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean117.7096
Minimum0
Maximum255
Zeros2757
Zeros (%)27.6%
Negative0
Negative (%)0.0%
Memory size78.2 KiB
2023-11-03T21:45:52.069796image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median136
Q3206
95-th percentile236
Maximum255
Range255
Interquartile range (IQR)206

Descriptive statistics

Standard deviation91.881169
Coefficient of variation (CV)0.78057499
Kurtosis-1.5956262
Mean117.7096
Median Absolute Deviation (MAD)84
Skewness-0.14953783
Sum1177096
Variance8442.1493
MonotonicityNot monotonic
2023-11-03T21:45:52.326719image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 2757
27.6%
220 86
 
0.9%
226 80
 
0.8%
225 79
 
0.8%
218 78
 
0.8%
229 78
 
0.8%
230 77
 
0.8%
210 76
 
0.8%
217 74
 
0.7%
224 74
 
0.7%
Other values (246) 6541
65.4%
ValueCountFrequency (%)
0 2757
27.6%
1 18
 
0.2%
2 19
 
0.2%
3 20
 
0.2%
4 22
 
0.2%
5 19
 
0.2%
6 13
 
0.1%
7 11
 
0.1%
8 7
 
0.1%
9 9
 
0.1%
ValueCountFrequency (%)
255 57
0.6%
254 18
 
0.2%
253 12
 
0.1%
252 15
 
0.1%
251 10
 
0.1%
250 12
 
0.1%
249 8
 
0.1%
248 20
 
0.2%
247 15
 
0.1%
246 13
 
0.1%

pixel401
Real number (ℝ)

HIGH CORRELATION  ZEROS 

Distinct256
Distinct (%)2.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean103.9929
Minimum0
Maximum255
Zeros2770
Zeros (%)27.7%
Negative0
Negative (%)0.0%
Memory size78.2 KiB
2023-11-03T21:45:52.556907image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median105
Q3190
95-th percentile237
Maximum255
Range255
Interquartile range (IQR)190

Descriptive statistics

Standard deviation89.990936
Coefficient of variation (CV)0.86535653
Kurtosis-1.5463697
Mean103.9929
Median Absolute Deviation (MAD)101
Skewness0.10979233
Sum1039929
Variance8098.3685
MonotonicityNot monotonic
2023-11-03T21:45:52.799270image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 2770
27.7%
1 155
 
1.6%
255 106
 
1.1%
2 96
 
1.0%
3 64
 
0.6%
218 58
 
0.6%
228 57
 
0.6%
214 56
 
0.6%
232 54
 
0.5%
230 53
 
0.5%
Other values (246) 6531
65.3%
ValueCountFrequency (%)
0 2770
27.7%
1 155
 
1.6%
2 96
 
1.0%
3 64
 
0.6%
4 41
 
0.4%
5 34
 
0.3%
6 22
 
0.2%
7 20
 
0.2%
8 17
 
0.2%
9 9
 
0.1%
ValueCountFrequency (%)
255 106
1.1%
254 12
 
0.1%
253 24
 
0.2%
252 16
 
0.2%
251 20
 
0.2%
250 16
 
0.2%
249 11
 
0.1%
248 13
 
0.1%
247 18
 
0.2%
246 24
 
0.2%

pixel180
Real number (ℝ)

HIGH CORRELATION  ZEROS 

Distinct256
Distinct (%)2.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean105.2011
Minimum0
Maximum255
Zeros3029
Zeros (%)30.3%
Negative0
Negative (%)0.0%
Memory size78.2 KiB
2023-11-03T21:45:53.037701image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median111
Q3195
95-th percentile233
Maximum255
Range255
Interquartile range (IQR)195

Descriptive statistics

Standard deviation90.724691
Coefficient of variation (CV)0.86239299
Kurtosis-1.6097045
Mean105.2011
Median Absolute Deviation (MAD)102
Skewness0.047941608
Sum1052011
Variance8230.9696
MonotonicityNot monotonic
2023-11-03T21:45:53.333617image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 3029
30.3%
1 129
 
1.3%
216 72
 
0.7%
220 67
 
0.7%
2 64
 
0.6%
217 63
 
0.6%
224 63
 
0.6%
218 61
 
0.6%
205 61
 
0.6%
228 60
 
0.6%
Other values (246) 6331
63.3%
ValueCountFrequency (%)
0 3029
30.3%
1 129
 
1.3%
2 64
 
0.6%
3 41
 
0.4%
4 46
 
0.5%
5 31
 
0.3%
6 16
 
0.2%
7 13
 
0.1%
8 10
 
0.1%
9 7
 
0.1%
ValueCountFrequency (%)
255 59
0.6%
254 14
 
0.1%
253 6
 
0.1%
252 4
 
< 0.1%
251 8
 
0.1%
250 9
 
0.1%
249 4
 
< 0.1%
248 5
 
0.1%
247 7
 
0.1%
246 8
 
0.1%

pixel234
Real number (ℝ)

HIGH CORRELATION  ZEROS 

Distinct256
Distinct (%)2.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean97.2231
Minimum0
Maximum255
Zeros3180
Zeros (%)31.8%
Negative0
Negative (%)0.0%
Memory size78.2 KiB
2023-11-03T21:45:53.571638image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median92
Q3187
95-th percentile233
Maximum255
Range255
Interquartile range (IQR)187

Descriptive statistics

Standard deviation90.893951
Coefficient of variation (CV)0.93490077
Kurtosis-1.5654279
Mean97.2231
Median Absolute Deviation (MAD)92
Skewness0.2047631
Sum972231
Variance8261.7103
MonotonicityNot monotonic
2023-11-03T21:45:53.833347image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 3180
31.8%
1 314
 
3.1%
2 111
 
1.1%
255 101
 
1.0%
3 62
 
0.6%
233 59
 
0.6%
222 55
 
0.5%
204 55
 
0.5%
212 54
 
0.5%
225 53
 
0.5%
Other values (246) 5956
59.6%
ValueCountFrequency (%)
0 3180
31.8%
1 314
 
3.1%
2 111
 
1.1%
3 62
 
0.6%
4 41
 
0.4%
5 33
 
0.3%
6 27
 
0.3%
7 15
 
0.1%
8 9
 
0.1%
9 13
 
0.1%
ValueCountFrequency (%)
255 101
1.0%
254 19
 
0.2%
253 15
 
0.1%
252 6
 
0.1%
251 5
 
0.1%
250 15
 
0.1%
249 8
 
0.1%
248 12
 
0.1%
247 10
 
0.1%
246 17
 
0.2%

pixel236
Real number (ℝ)

HIGH CORRELATION  ZEROS 

Distinct256
Distinct (%)2.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean108.7499
Minimum0
Maximum255
Zeros2556
Zeros (%)25.6%
Negative0
Negative (%)0.0%
Memory size78.2 KiB
2023-11-03T21:45:54.078226image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median119
Q3195
95-th percentile232
Maximum255
Range255
Interquartile range (IQR)195

Descriptive statistics

Standard deviation89.993057
Coefficient of variation (CV)0.82752312
Kurtosis-1.5906938
Mean108.7499
Median Absolute Deviation (MAD)93
Skewness-0.016643772
Sum1087499
Variance8098.7502
MonotonicityNot monotonic
2023-11-03T21:45:54.339322image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 2556
 
25.6%
1 250
 
2.5%
2 135
 
1.4%
3 87
 
0.9%
255 80
 
0.8%
207 77
 
0.8%
228 74
 
0.7%
225 73
 
0.7%
215 72
 
0.7%
189 68
 
0.7%
Other values (246) 6528
65.3%
ValueCountFrequency (%)
0 2556
25.6%
1 250
 
2.5%
2 135
 
1.4%
3 87
 
0.9%
4 63
 
0.6%
5 27
 
0.3%
6 19
 
0.2%
7 16
 
0.2%
8 17
 
0.2%
9 11
 
0.1%
ValueCountFrequency (%)
255 80
0.8%
254 9
 
0.1%
253 11
 
0.1%
252 8
 
0.1%
251 11
 
0.1%
250 8
 
0.1%
249 13
 
0.1%
248 8
 
0.1%
247 12
 
0.1%
246 8
 
0.1%

pixel68
Real number (ℝ)

HIGH CORRELATION  ZEROS 

Distinct256
Distinct (%)2.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean102.0846
Minimum0
Maximum255
Zeros3749
Zeros (%)37.5%
Negative0
Negative (%)0.0%
Memory size78.2 KiB
2023-11-03T21:45:54.577745image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median104
Q3197
95-th percentile235
Maximum255
Range255
Interquartile range (IQR)197

Descriptive statistics

Standard deviation94.773298
Coefficient of variation (CV)0.92837997
Kurtosis-1.6820966
Mean102.0846
Median Absolute Deviation (MAD)104
Skewness0.10949675
Sum1020846
Variance8981.978
MonotonicityNot monotonic
2023-11-03T21:45:54.826049image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 3749
37.5%
224 70
 
0.7%
215 66
 
0.7%
227 66
 
0.7%
206 65
 
0.7%
222 63
 
0.6%
228 61
 
0.6%
213 59
 
0.6%
255 58
 
0.6%
229 56
 
0.6%
Other values (246) 5687
56.9%
ValueCountFrequency (%)
0 3749
37.5%
1 50
 
0.5%
2 31
 
0.3%
3 31
 
0.3%
4 29
 
0.3%
5 17
 
0.2%
6 19
 
0.2%
7 7
 
0.1%
8 8
 
0.1%
9 11
 
0.1%
ValueCountFrequency (%)
255 58
0.6%
254 22
 
0.2%
253 16
 
0.2%
252 12
 
0.1%
251 9
 
0.1%
250 11
 
0.1%
249 13
 
0.1%
248 18
 
0.2%
247 12
 
0.1%
246 17
 
0.2%

pixel611
Real number (ℝ)

HIGH CORRELATION  ZEROS 

Distinct256
Distinct (%)2.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean84.1955
Minimum0
Maximum255
Zeros4502
Zeros (%)45.0%
Negative0
Negative (%)0.0%
Memory size78.2 KiB
2023-11-03T21:45:55.061830image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median17
Q3185
95-th percentile241
Maximum255
Range255
Interquartile range (IQR)185

Descriptive statistics

Standard deviation95.295508
Coefficient of variation (CV)1.1318361
Kurtosis-1.4503563
Mean84.1955
Median Absolute Deviation (MAD)17
Skewness0.50262699
Sum841955
Variance9081.2338
MonotonicityNot monotonic
2023-11-03T21:45:55.319493image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 4502
45.0%
255 186
 
1.9%
1 112
 
1.1%
2 100
 
1.0%
3 69
 
0.7%
4 61
 
0.6%
207 51
 
0.5%
211 47
 
0.5%
215 47
 
0.5%
198 47
 
0.5%
Other values (246) 4778
47.8%
ValueCountFrequency (%)
0 4502
45.0%
1 112
 
1.1%
2 100
 
1.0%
3 69
 
0.7%
4 61
 
0.6%
5 37
 
0.4%
6 21
 
0.2%
7 14
 
0.1%
8 9
 
0.1%
9 5
 
0.1%
ValueCountFrequency (%)
255 186
1.9%
254 31
 
0.3%
253 21
 
0.2%
252 12
 
0.1%
251 18
 
0.2%
250 14
 
0.1%
249 22
 
0.2%
248 11
 
0.1%
247 26
 
0.3%
246 31
 
0.3%

pixel96
Real number (ℝ)

HIGH CORRELATION  ZEROS 

Distinct256
Distinct (%)2.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean102.6985
Minimum0
Maximum255
Zeros3554
Zeros (%)35.5%
Negative0
Negative (%)0.0%
Memory size78.2 KiB
2023-11-03T21:45:55.551452image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median105
Q3197
95-th percentile232
Maximum255
Range255
Interquartile range (IQR)197

Descriptive statistics

Standard deviation93.442677
Coefficient of variation (CV)0.90987383
Kurtosis-1.6776348
Mean102.6985
Median Absolute Deviation (MAD)105
Skewness0.088341663
Sum1026985
Variance8731.534
MonotonicityNot monotonic
2023-11-03T21:45:55.805376image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 3554
35.5%
226 79
 
0.8%
219 75
 
0.8%
214 72
 
0.7%
218 70
 
0.7%
221 69
 
0.7%
230 68
 
0.7%
1 68
 
0.7%
225 68
 
0.7%
217 67
 
0.7%
Other values (246) 5810
58.1%
ValueCountFrequency (%)
0 3554
35.5%
1 68
 
0.7%
2 42
 
0.4%
3 21
 
0.2%
4 26
 
0.3%
5 23
 
0.2%
6 16
 
0.2%
7 13
 
0.1%
8 11
 
0.1%
9 11
 
0.1%
ValueCountFrequency (%)
255 29
0.3%
254 13
0.1%
253 5
 
0.1%
252 7
 
0.1%
251 9
 
0.1%
250 4
 
< 0.1%
249 9
 
0.1%
248 5
 
0.1%
247 17
0.2%
246 10
 
0.1%

pixel555
Real number (ℝ)

HIGH CORRELATION  ZEROS 

Distinct256
Distinct (%)2.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean98.3624
Minimum0
Maximum255
Zeros3414
Zeros (%)34.1%
Negative0
Negative (%)0.0%
Memory size78.2 KiB
2023-11-03T21:45:56.045371image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median84
Q3195
95-th percentile241
Maximum255
Range255
Interquartile range (IQR)195

Descriptive statistics

Standard deviation94.760972
Coefficient of variation (CV)0.96338613
Kurtosis-1.6055076
Mean98.3624
Median Absolute Deviation (MAD)84
Skewness0.23506607
Sum983624
Variance8979.6418
MonotonicityNot monotonic
2023-11-03T21:45:56.299042image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 3414
34.1%
255 175
 
1.8%
1 134
 
1.3%
2 102
 
1.0%
3 89
 
0.9%
4 65
 
0.7%
221 65
 
0.7%
209 62
 
0.6%
213 57
 
0.6%
225 56
 
0.6%
Other values (246) 5781
57.8%
ValueCountFrequency (%)
0 3414
34.1%
1 134
 
1.3%
2 102
 
1.0%
3 89
 
0.9%
4 65
 
0.7%
5 35
 
0.4%
6 32
 
0.3%
7 15
 
0.1%
8 16
 
0.2%
9 12
 
0.1%
ValueCountFrequency (%)
255 175
1.8%
254 41
 
0.4%
253 29
 
0.3%
252 16
 
0.2%
251 24
 
0.2%
250 21
 
0.2%
249 18
 
0.2%
248 12
 
0.1%
247 22
 
0.2%
246 18
 
0.2%

pixel594
Real number (ℝ)

HIGH CORRELATION  ZEROS 

Distinct256
Distinct (%)2.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean77.2979
Minimum0
Maximum255
Zeros4564
Zeros (%)45.6%
Negative0
Negative (%)0.0%
Memory size78.2 KiB
2023-11-03T21:45:56.527994image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median5
Q3170
95-th percentile236
Maximum255
Range255
Interquartile range (IQR)170

Descriptive statistics

Standard deviation91.801381
Coefficient of variation (CV)1.187631
Kurtosis-1.2703044
Mean77.2979
Median Absolute Deviation (MAD)5
Skewness0.62941741
Sum772979
Variance8427.4935
MonotonicityNot monotonic
2023-11-03T21:45:56.778314image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 4564
45.6%
1 144
 
1.4%
255 142
 
1.4%
2 124
 
1.2%
3 98
 
1.0%
4 63
 
0.6%
5 44
 
0.4%
223 44
 
0.4%
231 43
 
0.4%
213 43
 
0.4%
Other values (246) 4691
46.9%
ValueCountFrequency (%)
0 4564
45.6%
1 144
 
1.4%
2 124
 
1.2%
3 98
 
1.0%
4 63
 
0.6%
5 44
 
0.4%
6 23
 
0.2%
7 15
 
0.1%
8 12
 
0.1%
9 10
 
0.1%
ValueCountFrequency (%)
255 142
1.4%
254 18
 
0.2%
253 13
 
0.1%
252 18
 
0.2%
251 13
 
0.1%
250 14
 
0.1%
249 15
 
0.1%
248 22
 
0.2%
247 19
 
0.2%
246 19
 
0.2%

pixel427
Real number (ℝ)

HIGH CORRELATION  ZEROS 

Distinct256
Distinct (%)2.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean86.9366
Minimum0
Maximum255
Zeros4024
Zeros (%)40.2%
Negative0
Negative (%)0.0%
Memory size78.2 KiB
2023-11-03T21:45:57.015436image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median49.5
Q3182
95-th percentile238
Maximum255
Range255
Interquartile range (IQR)182

Descriptive statistics

Standard deviation93.250962
Coefficient of variation (CV)1.0726318
Kurtosis-1.4669573
Mean86.9366
Median Absolute Deviation (MAD)49.5
Skewness0.4351161
Sum869366
Variance8695.742
MonotonicityNot monotonic
2023-11-03T21:45:57.269983image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 4024
40.2%
1 175
 
1.8%
255 152
 
1.5%
2 116
 
1.2%
3 86
 
0.9%
4 70
 
0.7%
223 49
 
0.5%
215 49
 
0.5%
226 49
 
0.5%
219 46
 
0.5%
Other values (246) 5184
51.8%
ValueCountFrequency (%)
0 4024
40.2%
1 175
 
1.8%
2 116
 
1.2%
3 86
 
0.9%
4 70
 
0.7%
5 27
 
0.3%
6 17
 
0.2%
7 16
 
0.2%
8 22
 
0.2%
9 8
 
0.1%
ValueCountFrequency (%)
255 152
1.5%
254 29
 
0.3%
253 31
 
0.3%
252 18
 
0.2%
251 16
 
0.2%
250 20
 
0.2%
249 14
 
0.1%
248 10
 
0.1%
247 22
 
0.2%
246 24
 
0.2%

Interactions

2023-11-03T21:45:40.888160image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2023-11-03T21:44:02.567914image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2023-11-03T21:44:07.000333image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2023-11-03T21:44:11.210767image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2023-11-03T21:44:16.439592image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2023-11-03T21:44:21.517507image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2023-11-03T21:44:26.569441image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2023-11-03T21:44:34.662241image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2023-11-03T21:44:38.787540image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
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2023-11-03T21:44:43.751040image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2023-11-03T21:44:47.789549image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2023-11-03T21:44:52.407833image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2023-11-03T21:44:58.946390image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2023-11-03T21:45:03.017353image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2023-11-03T21:45:07.046826image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2023-11-03T21:45:12.207781image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2023-11-03T21:45:16.960079image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2023-11-03T21:45:21.661765image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2023-11-03T21:45:26.269528image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2023-11-03T21:45:30.350778image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2023-11-03T21:45:35.152089image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2023-11-03T21:45:40.495189image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2023-11-03T21:45:44.740151image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2023-11-03T21:44:06.778727image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2023-11-03T21:44:11.009268image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2023-11-03T21:44:16.103873image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2023-11-03T21:44:21.320564image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2023-11-03T21:44:26.251945image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2023-11-03T21:44:34.451743image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2023-11-03T21:44:38.589494image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2023-11-03T21:44:43.959146image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2023-11-03T21:44:47.978765image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2023-11-03T21:44:52.602052image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2023-11-03T21:44:59.131028image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2023-11-03T21:45:03.209806image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2023-11-03T21:45:07.323659image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2023-11-03T21:45:12.402438image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2023-11-03T21:45:17.163137image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2023-11-03T21:45:21.989409image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2023-11-03T21:45:26.467603image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2023-11-03T21:45:30.557644image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2023-11-03T21:45:35.474595image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2023-11-03T21:45:40.683769image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

Correlations

2023-11-03T21:45:57.508418image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
labelpixel547pixel603pixel491pixel575pixel263pixel407pixel435pixel687pixel519pixel631pixel401pixel180pixel234pixel236pixel68pixel611pixel96pixel555pixel594pixel427
label1.0000.1640.0440.2020.118-0.5100.1750.185-0.2140.177-0.046-0.033-0.565-0.466-0.525-0.6220.334-0.6240.4550.3070.184
pixel5470.1641.0000.7610.7440.8500.2220.7070.7190.5200.8510.6930.2570.2650.2510.3030.1770.3930.2020.4210.3780.193
pixel6030.0440.7611.0000.6340.8640.3260.6030.6030.6640.7180.8600.2240.3960.3460.4140.3010.4650.3300.2900.4600.121
pixel4910.2020.7440.6341.0000.7160.1520.7630.7720.4220.8270.5660.3310.1860.1770.2260.1070.2850.1330.3280.2610.280
pixel5750.1180.8500.8640.7161.0000.2780.6670.6700.5870.7770.7630.2360.3290.3100.3650.2360.4410.2640.3620.4300.155
pixel263-0.5100.2220.3260.1520.2781.0000.1980.1800.4040.1970.3680.3170.8010.7730.8240.7120.0880.735-0.0470.0900.167
pixel4070.1750.7070.6030.7630.6670.1981.0000.8700.4170.7340.5430.3330.2290.2140.2700.1470.2630.1680.2990.2480.275
pixel4350.1850.7190.6030.7720.6700.1800.8701.0000.4160.7540.5460.3360.2080.1950.2490.1320.2570.1510.3040.2330.284
pixel687-0.2140.5200.6640.4220.5870.4040.4170.4161.0000.4810.7540.2710.4910.4050.4840.4840.1830.5090.0270.1450.070
pixel5190.1770.8510.7180.8270.7770.1970.7340.7540.4811.0000.6390.2880.2330.2210.2740.1460.3590.1740.3690.3370.233
pixel631-0.0460.6930.8600.5660.7630.3680.5430.5460.7540.6391.0000.2440.4490.3810.4530.3750.3810.4040.2150.3760.111
pixel401-0.0330.2570.2240.3310.2360.3170.3330.3360.2710.2880.2441.0000.2310.4520.2580.2010.1930.1990.2350.1900.535
pixel180-0.5650.2650.3960.1860.3290.8010.2290.2080.4910.2330.4490.2311.0000.7070.8850.7900.0460.827-0.1190.0360.068
pixel234-0.4660.2510.3460.1770.3100.7730.2140.1950.4050.2210.3810.4520.7071.0000.7230.6690.1770.6750.0490.1790.245
pixel236-0.5250.3030.4140.2260.3650.8240.2700.2490.4840.2740.4530.2580.8850.7231.0000.7490.0480.780-0.0980.0470.099
pixel68-0.6220.1770.3010.1070.2360.7120.1470.1320.4840.1460.3750.2010.7900.6690.7491.0000.0020.915-0.157-0.0080.032
pixel6110.3340.3930.4650.2850.4410.0880.2630.2570.1830.3590.3810.1930.0460.1770.0480.0021.0000.0150.8190.8500.479
pixel96-0.6240.2020.3300.1330.2640.7350.1680.1510.5090.1740.4040.1990.8270.6750.7800.9150.0151.000-0.1470.0020.037
pixel5550.4550.4210.2900.3280.362-0.0470.2990.3040.0270.3690.2150.235-0.1190.049-0.098-0.1570.819-0.1471.0000.7280.585
pixel5940.3070.3780.4600.2610.4300.0900.2480.2330.1450.3370.3760.1900.0360.1790.047-0.0080.8500.0020.7281.0000.480
pixel4270.1840.1930.1210.2800.1550.1670.2750.2840.0700.2330.1110.5350.0680.2450.0990.0320.4790.0370.5850.4801.000

Missing values

2023-11-03T21:45:45.056579image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
A simple visualization of nullity by column.
2023-11-03T21:45:45.603165image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
Nullity matrix is a data-dense display which lets you quickly visually pick out patterns in data completion.

Sample

labelpixel547pixel603pixel491pixel575pixel263pixel407pixel435pixel687pixel519pixel631pixel401pixel180pixel234pixel236pixel68pixel611pixel96pixel555pixel594pixel427
00204203203203226159224205201203226216165205672214200
110000211000000136911692270221000
22685350898553530533106570581141507016089162
326412920818714412883592250600239483560533152
4322520123424332223232023018157255412552340223000
5298122911128888911299512974711029188064510207
6825525516522015025424002161614216822419702550222255145
76175183156183127133135254164198179911591041311169611757147
85056000001890172010001021630
9099100929815491911049310311218018419095195120
labelpixel547pixel603pixel491pixel575pixel263pixel407pixel435pixel687pixel519pixel631pixel401pixel180pixel234pixel236pixel68pixel611pixel96pixel555pixel594pixel427
9990770013027568280008000000098070
999192032272072210185207021200000018802372244
99924197198207197194194195199195199221184192182037125205
9993821423021220720621221202121932144320720602200214229212
9994039114127137142951342036145137100706670046000
9995013012959173183207160881111131951831791461030116000
99966576555573444429955126364713476738970704960
999781972011952001241681872031972061851500194022621221224206
99988205219205215200204205180211226232200199182162210192201166205
99991204101185209216189189019226200209200209208235217241156223

Duplicate rows

Most frequently occurring

labelpixel547pixel603pixel491pixel575pixel263pixel407pixel435pixel687pixel519pixel631pixel401pixel180pixel234pixel236pixel68pixel611pixel96pixel555pixel594pixel427# duplicates
0019321419520719819619319520521422319520420021202140002